Dynamic hand gesture recognition using generalized time warping and deep belief networks

Cristian A. Torres-Valencia, Hernán F. García, Germán A. Holguín, Mauricio A. Álvarez, Álvaro Orozco

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

Body gestures play an important role in human communications, specially hand gestures are the most distinctive features in sign languages. Several works have been proposed in order to recognize hand gestures using static and dynamic approaches. Nevertheless, due to the high variety of signs and the dynamic changes exhibited in different hand motions, a strategy for modeling these dynamic changes in hand signs must be fulfilled. In this work we propose a framework for dynamic hand gesture recognition using a well known method for alignment of time series as the Generalized Time Warping (GTW). Several features are extracted from the aligned sequences of hand gestures based on texture descriptors. Then a methodology for hand motion recognition is carried out based on Convolutional Neural Networks. The obtained results show that the methodology proposed allows an accurate recognition of several hand gestures obtained from the RVL-SLLL American Sign Language Database.

Idioma originalInglés
Título de la publicación alojadaAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
EditoresBahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
EditorialSpringer Verlag
Páginas682-691
Número de páginas10
ISBN (versión impresa)9783319278629
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, Estados Unidos
Duración: 14 dic. 201516 dic. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9475
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia11th International Symposium on Advances in Visual Computing , ISVC 2015
País/TerritorioEstados Unidos
CiudadLas Vegas
Período14/12/1516/12/15

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